{"id":"W4409964874","doi":"10.2147/dddt.s505751","title":"Bibliometric Analysis of Non-Vitamin K Antagonist Oral Anticoagulants (NOACS) in the Prevention of Venous Thrombosis and Pulmonary Embolism","year":2025,"lang":"en","type":"review","venue":"Drug Design Development and Therapy","topic":"Venous Thromboembolism Diagnosis and Management","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; Central South University; National Natural Science Foundation of China","keywords":"Vitamin K antagonist; Medicine; Pulmonary embolism; Venous thrombosis; Vitamin k; Venous thromboembolism; Thrombosis; Intensive care medicine; Internal medicine; Warfarin; Atrial fibrillation","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.009817207,0.0009294235,0.003603207,0.1529545,0.001027921,0.003595886,0.001162041,0.0008863718,0.004915919],"category_scores_gemma":[0.07321989,0.0003629572,0.004688353,0.2039355,0.0007540007,0.002648738,0.002005969,0.0005493988,0.0007375635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002714211,"about_ca_system_score_gemma":0.005958323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007327699,"about_ca_topic_score_gemma":0.007184459,"domain_scores_codex":[0.981199,0.003891475,0.00549037,0.001732776,0.007114573,0.0005717952],"domain_scores_gemma":[0.9112458,0.05768881,0.01675894,0.001814939,0.01148577,0.001005708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006694315,0.0001675463,0.5692345,0.1387819,0.01596424,0.001149583,0.002609953,0.004876234,0.001272566,0.004572073,0.02426071,0.2364413],"study_design_scores_gemma":[0.0002032792,0.0003579388,0.8571498,0.0267578,0.02707388,0.003024779,0.003678207,0.008313172,0.001459858,0.007555927,0.06418999,0.0002353283],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.390743,0.4411843,0.004930241,0.006123041,0.0005777664,0.001367874,0.1262104,0.0006624864,0.02820091],"genre_scores_gemma":[0.8368698,0.1250683,0.004791129,0.0003261478,0.0005327511,0.001071399,0.02996146,0.00007730771,0.001301691],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8470454,"threshold_uncertainty_score":0.05191898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07940201947080826,"score_gpt":0.3645568673993637,"score_spread":0.2851548479285554,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}